Latest AI and machine learning research in genetics for healthcare professionals.
Missense variants in the STXBP1 gene are a frequent cause of early-onset developmental and epileptic...
Proteins, RNA, and DNA are central to virtually all cellular processes, often assembling into macro-...
The monocyte activation test is an in vitro pyrogenicity assessment method that can utilise human pe...
De novo peptide sequencing enables peptide identification from fragmentation spectra without relying...
Protein language models, and models that incorporate structure or homologous sequences, estimate seq...
Cancer of unknown primary (CUP) remains a major diagnostic hurdle, compromising therapies that depen...
The metabolic heterogeneity of breast cancer represents a significant challenge for the identificati...
Cell lines are indispensable models for analyzing molecular mechanisms underlying human diseases. Ho...
Viruses pose a significant threat to global health due to their rapid evolution, adaptability, and i...
Patient-derived organoids (PDOs) are emerging as advanced 3D ex vivo novel alternative method (NAM) ...
Single-cell RNA sequencing technologies have enabled unprecedented insights into gene expression and...
Seasonal influenza remains a significant public health challenge through unpredictable antigenic dri...
Understanding how DNA sequence encodes gene regulation remains a central challenge in genomics. Whil...
Large Language Models (LLMs), AI agents and co-scientists promise to accelerate scientific discovery...
Investigating the lethal effect of multi-gene knockout is essential for discovering novel antibiotic...
Recognition of protospacer adjacent motifs (PAMs) is crucial for target site recognition by CRISPR–C...
Single-nucleus RNA sequencing (snRNA-seq) generates single cell data from nuclei. It provides valuab...
Single-cell RNA sequencing (scRNA-seq) offers insights into cellular heterogeneity and tissue compos...
Fertility is one of the major factors affecting the efficiency of dairy herd, and genomic selection ...
Alzheimer’s disease (AD) is a complex neurodegenerative disorder which is multifactorial in nature. ...
In recent years, deep learning has revolutionized protein structure prediction, achieving remarkable...